The study introduces a groundbreaking 4 × 4 reversible gate named “TSG,” capable of functioning as a standalone reversible full adder, which simplifies the implementation process by reducing the need for multiple gates. This TSG gate employs two novel approaches: the parallel generation of partial products through Fredkin gates with a delay (‘d’) and the reduction of addition steps to log2N using a reversible parallel adder composed of TSG gates. The 4 × 4 reversible multiplier utilizing these TSG gates outperforms existing designs by reducing the number of reversible gates required and minimizing the generation of nonfunctional, or garbage, outputs. This advancement highlights the importance of efficient multiplier architectures in improving processor and computing machine performance, with significant implications for low-power CMOS, quantum computing, nanotechnology, and optical computing, thereby suggesting its potential to revolutionize the efficiency of microcontrollers and digital signal processors.

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Developing an Energy-Efficient Reversible Multiplier Architecture Utilizing TSG and Fredkin Gates

  • Spoorti Patil,
  • Suhas Shirol,
  • V. S. Saroja,
  • H. M. Vijay,
  • M. Rajeshwari

摘要

The study introduces a groundbreaking 4 × 4 reversible gate named “TSG,” capable of functioning as a standalone reversible full adder, which simplifies the implementation process by reducing the need for multiple gates. This TSG gate employs two novel approaches: the parallel generation of partial products through Fredkin gates with a delay (‘d’) and the reduction of addition steps to log2N using a reversible parallel adder composed of TSG gates. The 4 × 4 reversible multiplier utilizing these TSG gates outperforms existing designs by reducing the number of reversible gates required and minimizing the generation of nonfunctional, or garbage, outputs. This advancement highlights the importance of efficient multiplier architectures in improving processor and computing machine performance, with significant implications for low-power CMOS, quantum computing, nanotechnology, and optical computing, thereby suggesting its potential to revolutionize the efficiency of microcontrollers and digital signal processors.